Diabetes mellitus (DM) comes with an inability to bear significant economic burden of health care. It is a fast-growing outbreak that covers 537 million individuals all over the globe aged between 20 and 79. The prevention of complications is based on early detection, timely treatment, and continued management. Lifestyle changes (self-monitoring, frequent exercise, weight loss, smoking rate, nutrition education, and mental support) were among the core strategies. The innovative technology insulin pumps, continuous glucose monitors, smart insulin pens allow the patients to manage their illness more precisely and stay independent. These tools, along with wearables and Smartphone applications, will help in the ease of gathering data and increase security, which will help reduce anxiety and increase the quality of life. The developments transform care at a personal level but there is still a challenge—the devices fail, cost is high, and people are not as digital as they should be. Discussed in this chapter, artificial intelligence has a potential of proactive and customized interventions in eight fields: diagnostic imaging, health monitoring, predictive modeling, public health, lifestyle management, clinical decision support, diabetes treatment, and patient engagement. AI results in the provision of specific care that positively impacts the outcome and the quality of life.